openevidence Security Engineer Interview: Questions, Experience & Prep (2026)

OpenEvidence builds AI-powered clinical decision tools that help doctors find evidence-based answers quickly at the point of care. A Security Engineer here protects systems that clinicians actively rely on, so the role carries real responsibility around data integrity, access control, and compliance.

As of July 2026, knok jobradar shows 11 open roles at OpenEvidence. The broader Security Engineer market across India lists 628 active positions, with Bangalore leading at 69 openings, followed by Delhi and Pune at 12 each, Hyderabad at 10, Mumbai at 7, and Chennai at 6.

Candidates report the interview process typically includes a recruiter screen, a technical round covering security fundamentals and system design, and a final loop with engineering and sometimes leadership. OpenEvidence does not publicly list compensation ranges. Glassdoor and industry surveys indicate Security Engineers at AI-focused SaaS companies are paid competitively, but verify current figures directly with the recruiter.

These questions reflect themes candidates report from Security Engineer interviews at AI and healthcare SaaS companies, including OpenEvidence-style processes.

1. How would you build a threat model for an AI pipeline that ingests and summarises clinical literature?
2. OpenEvidence serves hospital networks. How do you approach HIPAA compliance as a hands-on engineer, not just a checkbox exercise?
3. Walk us through your experience securing cloud infrastructure. Which misconfigurations do you consider most dangerous in a healthcare SaaS context?
4. How do you integrate security into a fast-moving engineering team without becoming a blocker?
5. Describe a time you found a critical vulnerability. How did you triage it, notify stakeholders, and track the fix?
6. How would you design secrets management for a startup that is scaling quickly across multiple services?
7. What is your approach to securing REST or GraphQL APIs that expose AI model outputs to external clients?
8. Walk us through how you would respond to a suspected breach involving patient records.
9. What SAST and DAST tools have you used, and how did you embed them in a CI/CD pipeline?
10. Tell us about a time you persuaded an engineering or product leader to prioritise a security fix over a feature.
11. How do you stay current with CVEs and threat intelligence relevant to healthcare or AI systems?
12. OpenEvidence is a small team. How do you decide what to automate versus handle manually in an early-stage security programme?

Q: Describe a time you found a critical vulnerability and led the fix.

*Situation:* At my previous company, a routine code review flagged an API endpoint that accepted user-supplied input and forwarded it unsanitised to an internal service.

*Task:* I needed to assess the blast radius, notify the right people without causing panic, and drive remediation before the issue could be exploited.

*Action:* I documented the full attack path and used CVSS scoring to communicate severity in terms the product team understood. I opened a private, access-restricted ticket for the security and backend teams, paired with the backend engineer to add server-side input validation, and proposed a temporary WAF rule as a stopgap while the code change went through review. I also drafted an incident-communication template so the team had a repeatable playbook if something similar surfaced later.

*Result:* The code fix shipped within the same sprint, the WAF rule provided immediate cover, and a retrospective led us to update our secure-code-review checklist. No customer data was accessed.

---

Q: How do you integrate security into a fast-moving engineering team without becoming a blocker?

*Situation:* At a previous role, the engineering team was shipping features quickly but security reviews were creating a bottleneck because every pull request waited for a manual check.

*Task:* I was asked to cut review wait time without reducing security coverage.

*Action:* I worked with the team to embed lightweight SAST checks directly into the CI pipeline so common issues were caught automatically before code reached review. I held a short session with engineers on the top vulnerability classes relevant to our stack so they could self-review for the obvious ones. For higher-risk changes, I added a short security checklist to the pull request template rather than requiring a separate review ticket.

*Result:* Routine pull requests moved through without waiting for me, and I could focus manual review time on architecture changes and new integrations. The team reported fewer back-and-forth cycles, and our open security backlog shrank steadily.

---

Q: Tell us about a time you persuaded a non-security stakeholder to prioritise a security fix.

*Situation:* A product manager at my previous company deprioritised a server-side access-control gap because it did not visibly affect any current user flows.

*Task:* I needed to make the business case for fixing it before the next release added more surface area.

*Action:* Instead of leading with technical severity, I mapped the vulnerability to a specific SOC 2 control and showed the PM a short table of what an audit finding would mean in terms of remediation cost and potential customer trust impact. I proposed a scoped fix that the backend team estimated as a small task, and offered to write the ticket and acceptance criteria myself.

*Result:* The fix was scheduled into the next sprint. The PM later said that framing it around audit risk rather than CVE scores made the decision straightforward.

STAR for behavioural questions
Situation, Task, Action, Result. Keep Situation and Task brief, a couple of sentences each. Spend most of your answer on Action, since that is what interviewers are evaluating. Result should include a concrete outcome, even if qualitative.

Problem-Approach-Outcome for technical design questions
Start by stating the security problem clearly: what is the asset, what is the threat. Then walk through your approach methodically, naming the tools or controls you would use and why. Close with how you would verify the control is working and how you would evolve it as the system grows.

The small-team lens for OpenEvidence specifically
OpenEvidence is not a large enterprise. When answering any question about tooling, process, or compliance, acknowledge the startup context. Interviewers respond well to candidates who can distinguish between enterprise-grade and right-sized for a company at this stage. Show that you can prioritise the highest-risk items first rather than trying to build a full security programme on day one.

Handling 'I don't know'
If a specific tool or standard comes up that you are not deeply familiar with, say so directly and then bridge to a related area you do know. For example: 'I haven't used that specific tool, but I have worked extensively with X, which solves a similar problem by...' This shows honesty and the ability to learn, both valued at smaller companies.

Security mindset applied to the product context
OpenEvidence processes clinical data, so interviewers want to see that you understand the specific threat landscape around healthcare and AI, not just generic web security. Show familiarity with data minimisation, access logging for audit trails, and securing model inference endpoints.

Compliance as engineering, not paperwork
HIPAA and SOC 2 come up repeatedly in healthcare SaaS interviews. The best answers treat compliance requirements as engineering requirements, not something the legal team handles. If you can describe how you baked a specific control into infrastructure-as-code or automated a compliance check, that resonates strongly.

Developer empathy
Small teams cannot afford a security engineer who slows things down. Interviewers look for candidates who have found ways to shift security left without creating friction. Stories about embedding checks in pipelines, writing good documentation, or running short team sessions land better than stories about blocking deployments.

Clear communication under pressure
Incident response questions test whether you can stay structured when things are uncertain. Use a clear framework (isolate, assess, communicate, remediate) and show that you know who to loop in and when.

Ownership and follow-through
At a small company, the security engineer often owns the full lifecycle of a finding: discovery, triage, fix, verification, and post-mortem. Interviewers want candidates who do not hand off and forget.

Step 1: Understand the product
Spend time with the OpenEvidence product itself. Understand what data it handles, how clinicians use it, and what integrations it likely has with hospital systems. This context will make your threat-modelling answers specific and credible.

Step 2: Brush up on healthcare security and compliance
Review the core HIPAA Security Rule requirements and how SOC 2 Type II applies to a SaaS company. Focus on the technical safeguards section of HIPAA: access controls, audit controls, integrity controls, and transmission security.

Step 3: Refresh cloud security fundamentals
If OpenEvidence runs on AWS or GCP (common for AI startups), review IAM least-privilege patterns, network segmentation, secrets management, and logging and monitoring setup. Be ready to talk through specific misconfigurations you have caught and corrected.

Step 4: Prepare your STAR stories
Pick several experiences that cover: finding and fixing a vulnerability, influencing a non-technical stakeholder, improving a security process, and handling an incident or near-miss. Practise them out loud until the structure feels natural.

Step 5: Prepare questions to ask
Candidates who ask sharp questions stand out. Consider: 'How mature is the current security programme, and what is the biggest gap you want this hire to close?' and 'How does the security function interact with the product and engineering roadmap?'

Step 6: Keep your pipeline active with knok
While you prepare, knok checks 150+ job sites nightly, applies to Security Engineer roles matching your resume, and messages HR for you, so you are not missing openings while you focus on interview prep.

Treating compliance as a separate topic from engineering
Candidates who talk about HIPAA as something the legal or compliance team handles come across as hands-off. Show that you embed controls into code and infrastructure directly.

Generic threat models
Saying 'I would identify assets, threats, and mitigations' without tailoring the answer to AI pipelines or clinical data shows lack of preparation. Mention specific threat classes relevant to the product: model-inversion attacks, prompt injection, PHI exfiltration.

Oversizing the solution for a startup
Proposing an enterprise-scale security operations centre or a sprawling toolchain signals that you do not understand the team's size and budget. Right-size your recommendations and acknowledge the trade-offs explicitly.

Skipping the Result in STAR answers
Many candidates describe what they did but trail off without stating the outcome. Interviewers use the result to judge your impact. Even qualitative results ('the team's confidence in the deployment pipeline increased significantly') are better than none.

Not asking questions
A candidate who asks nothing at the end of a round signals low curiosity or low interest. Prepare at least a couple of substantive questions about the security programme, the team, or the roadmap.

Using technical jargon without explanation
OpenEvidence may have interviewers from product or clinical backgrounds involved in the loop. Practise explaining security concepts in plain terms without losing accuracy.